In this AI product leadership role, you will own a major Compliance AI portfolio in a global, highly regulated setting. You’ll shape AI methods and responsible practices while delivering solutions that turn complex risk data into decision-ready insights. You’ll collaborate across Compliance, Legal, and Tech to drive scalable, trustworthy AI that supports enterprise risk management. This is an opportunity to influence global governance, accelerate adoption, and deliver measurable impact in compliance at scale.
Responsibilities
Own end-to-end lifecycle of an AI product portfolio from problem definition to production launch and continuous improvement
Translate business needs into a clear product roadmap with prioritized backlog, requirements, and measurable outcomes
Establish AI methodology aligned with the company’s responsible AI framework, including governance and monitoring
Provide technical direction and quality oversight to internal teams and delivery partners
Build partnerships across Compliance, Legal, Risk Owners, Analytics, and Tech to ensure secure, scalable products
Shape the AI innovation pipeline by identifying capabilities and converting experiments into scalable solutions
Communicate complex technical choices and risks to senior stakeholders to enable informed decisions
Strengthen organizational capability through coaching, knowledge sharing, and reusable standards
Key requirements
Significant experience owning and delivering enterprise AI or similarly complex digital products
Deep expertise in Generative AI or Agentic AI products
Strong product leadership across roadmaps, governance, and lifecycle management
Strong technical depth in modern AI development practices and Python
Experience establishing evaluation, validation, monitoring, and responsible AI controls
Proven ability to lead cross-functional delivery in a global, matrixed organization
Strong communication skills to explain concepts and risks to varied audiences
Advanced knowledge from degree or equivalent experience in computer science, data science, AI, analytics, engineering, mathematics, or related discipline
strong communication
leadership and influence without formal authority
cross-functional collaboration
Generative AI product design (retrieval, grounding, evaluation, validation, human review)
Agentic AI product design (orchestration, tool use, workflow, observability, guardrails)
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